RNAi can be a powerful tool, says Keith Robison, but bad papers are still out there because the methodologies were not completely refined. At Omics! Omics!, he rounds up two papers that analyze RNAi data. One focuses on noise and the other take looks at genome-wide data.
Hopefully a look at this guide will save your paper from being one of the “bad” ones.